Fit Parameters

Best-fit Parameters

best-fit median $\pm$ $1\sigma$ 95% lower 95% upper
parameter
$F_\mathrm{AP}$ 0.811263 $0.78802^{+0.12}_{-0.093}$ 0.593742 1.02595
$\alpha$ 0.978387 $0.9826^{+0.045}_{-0.041}$ 0.900912 1.10313
$\alpha_\parallel$ 0.851043 $0.83877^{+0.1}_{-0.085}$ 0.700955 1.04185
$\alpha_\perp$ 1.04904 $1.0579^{+0.056}_{-0.05}$ 0.965764 1.30274
$\epsilon$ -0.0673461 $-0.076339^{+0.044}_{-0.038}$ -0.15951 0.00857675
$\sigma_8$ 0.448672 $0.45355^{+0.13}_{-0.1}$ 0.312675 0.689351
$\sigma_\mathrm{FOG}$ 3.2023 $3.1739^{+0.54}_{-0.47}$ 2.38392 4.28856
$b_1 \sigma_8$ 0.859372 $0.8512^{+0.057}_{-0.056}$ 0.749937 0.960705
$b_1$ 1.91537 $1.8822^{+0.54}_{-0.42}$ 1.2255 2.82926
$f \sigma_8$ 0.442882 $0.46515^{+0.087}_{-0.086}$ 0.305998 0.732235
$f$ 0.987096 $1.0313^{+0.37}_{-0.28}$ 0.561344 1.73852
$f_\mathrm{NL}$ -41.3694 $-41.137^{+59}_{-78}$ -250.546 99.6318

Comparison of Best-fit Theory and Data

Posterior Distributions

Trace Timelines